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midway_eval_lab07.qmd
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midway_eval_lab07.qmd
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---
title: "Midway Evalutation"
author: "Leon Eyrich Jessen"
format:
revealjs:
embed-resources: true
theme: moon
slide-number: c/t
width: 1600
height: 900
mainfont: avenir
logo: images/r4bds_logo_small.png
footer: "R for Bio Data Science"
---
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## Midway Evaluation
- Our opportunity to understand if the course elements works as intended
- Your opportunity to let us know, how the course looks on the students side
- Super important to align
- 76 out of 124 enrolled students answered this year
- THANK YOU for this important contribution!
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## Highlights: What's Working Well in the Course
- The course is well-organized, with clear structure, helpful recaps of previous material, and balanced lecture-to-exercise time
- Hands-on approach with well-guided exercises that align with learning level
- The TAs play a crucial role by offering timely assistance, encouraging questions
- Working in teams is beneficial for learning, especially when combined with the practical nature of the assignments
- Course materials, particularly the website, reading materials, and exercises, are helpful in getting through the course content
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## Highlights: What could be better
- Workload of exercises is sometimes too large, unevenly spread across weeks, or time-consuming, particularly Week 5
- Several students experienced difficulties with the R cloud server and prefer working locally with RStudio
- Many students would prefer slightly longer lectures with more in-depth explanations rather than relying heavily on pre-class preparation
- The volume of reading and preparation materials, with some finding it difficult to manage before each class
- The early start times pose challenges for some students, particularly those commuting, making it harder to follow the course
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## Highlights: Group Assignment Element
- Group work can be challenging due to varying skill levels, often leading to one or two group members completing most of the work
- Differences in progress during in-class exercises and limited time for coordination outside class make group collaboration difficult for some students.
- Many find the group assignments beneficial for practice, some feel the tasks are too large or complex to be effectively tackled as a group within the available time
- Generally the feedback is found useful and constructive, helping to improve their work throughout the course
- Several students suggest smaller groups for more effective collaboration and equal participation in the assignments
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## Highlights: Open input and feedback
- Many students prefer working with RStudio locally rather than using the R cloud server, which some found unreliable
- Collaborating on group assignments is difficult due to varying skill levels and working paces, which impacts the ability to collaborate effectively
- Students appreciate the overall structure, but there is some feedback suggesting more balance in the amount of preparation material and fewer exercises in certain weeks (e.g., Week 5)
- Students find the feedback valuable, but some mentioned issues with only the person submitting the group assignment being able to view it, suggesting improvements for accessibility across the group
- Overall, students find the course highly valuable, particularly in terms of learning R and bio data science, with several suggesting it should be promoted more to bachelor students and integrated into earlier stages of their studies
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_Average: 4 + 3.9 +/- 2.2 ~6-10h/week, expected time usage for 5 ECTS ~9-10h/week_